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FastHCS (version 0.0.7)
Robust Algorithm for Principal Component Analysis
Description
The FastHCS algorithm of Schmitt and Vakili (2015) for high-dimensional, robust PCA modelling and associated outlier detection and diagnostic tools.
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Version
Version
0.0.7
0.0.6
0.0.5
Install
install.packages('FastHCS')
Monthly Downloads
73
Version
0.0.7
License
GPL (>= 2)
Maintainer
Vakili Kaveh
Last Published
May 10th, 2020
Functions in FastHCS (0.0.7)
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signFlip
Carries out the signflip adjustment of a loadings matrix
FHCSpsdo
Computes the univariate MCD estimator of scatter
plot.FastHCS
Robust diagnostic plots for FastHCS
FHCSnumStarts
Computes the number of starting q-subsets
DnaAlteration
Cytosine methylation beta values for a sample of 198 non-pathological human tissue specimens.
compPcaParams
Computes the center vector, eigenvalues and loading matrix corresponding to a PCA model of a data matrix with respect to a subset of observations in a data set
Tablets
Near-infrared (NIR) spectroscopy of a sample of 310 tablets.
FastHCS
Performs the FastHCS algorithm for robust PCA.
FHCSkernelEVD
Carries out the kernelEVD algorithm for data reduction
FastHCS-package
Package implementing the FastHCS robust PCA algorithm.
MultipleFeatures
Fourier coefficients describing the shape of many hand written replications of the numerals '0' and '1'.